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DataVisor End-to-end fraud and risk SaaS platform, powered by AI and advanced machine learning

⚠️ Why Effective FRAML Requires Separate Workflows for Fraud and AMLOne of the most common misconceptions about FRAML is...
07/15/2025

⚠️ Why Effective FRAML Requires Separate Workflows for Fraud and AML

One of the most common misconceptions about FRAML is the idea of combining fraud and AML alerts into a single metric or score – an approach that is fundamentally flawed.

While fraud detection and AML monitoring use similar data, they analyze the data through different lenses.

FRAUD
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Fraud investigations often involve real-time or near-real-time responses to stop unauthorized transactions or account breaches.

A fraud analyst might investigate a flagged login attempt, focusing on device data and transaction patterns to determine if the event is fraudulent.

AML
===
AML investigations require a detailed analysis of transaction histories and customer behaviors.

An AML investigator might analyze a series of transactions spanning months to identify suspicious patterns indicative of money laundering.

Shared Dataset
==================
A powerful FRAML system integrates multiple data sources into one dateset that can be accessed by multiple teams for varying objectives, analysis, and investigative processes.

1. 360 Comprehensive View:
Provides a comprehensive picture of customer behavior and risk profiles

2. Enhanced Detection:
Improves identification of complex fraud and money laundering schemes

3. Improved Data Quality:
Increases data accuracy and reliability through shared scrutiny

4. Cost Efficiency:
Reduces duplication of data storage and processing efforts

Thank you to Kevin McWey for clarifying why a power FRAML system unifies data but customizes separate workflows for Fraud and AML teams.

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As a , how do you build a fraud prevention strategy that's both effective AND future-proof? Our Director of Fintechs, K...
07/15/2025

As a , how do you build a fraud prevention strategy that's both effective AND future-proof?
Our Director of Fintechs, Kevin Schwaba, just released a must-read resource that tackles this very question.
In his new article "Fraud Prevention: What FinTechs Really Need," he outlines the core principles and a detailed checklist for a comprehensive fraud prevention framework.

Key takeaways include:
➡️ The importance of a customer-centric approach.
➡️ Why a holistic, cross-departmental strategy is critical.
➡️ How to leverage Unsupervised Machine Learning (UML) for advanced threat detection.

🔗 Dive into the full article here: https://hubs.li/Q035Vyqx0

Huge thanks to Kevin for sharing his decade of experience with the community!

Please join us in welcoming Ryan Fifield to the DataVisor team as Solution Architect!With over 18 years of experience in...
07/15/2025

Please join us in welcoming Ryan Fifield to the DataVisor team as Solution Architect!

With over 18 years of experience in enterprise software implementation, risk analytics, and data integration, Ryan brings deep expertise in delivering end-to-end solutions across the financial services sector. He has a proven track record in driving successful deployments in AML, fraud, and credit risk, helping clients meet regulatory demands while optimizing system performance and usability.

Prior to joining us, Ryan held key roles at Provenir, Fiserv, and Manulife Financial, where he led solution delivery, client engagement, and technical integration. Known for his collaborative approach and strategic mindset, Ryan is passionate about leveraging data, analytics, and innovation to solve complex problems and deliver value at scale.

At DataVisor, Ryan is excited to partner closely with clients to design future-ready fraud and AML solutions that not only address today’s risks but anticipate tomorrow’s threats. He’s particularly energized by the opportunity to implement cutting-edge AI capabilities, streamline deployments, and help teams unlock faster time to value with more adaptive, intelligent platforms.

Welcome aboard, Ryan! We’re thrilled to have you on the journey with us.

We’re thrilled to share that DataVisor has been named "The AI-Based Fraud Prevention Solution of the Year" in the 2025 A...
07/15/2025

We’re thrilled to share that DataVisor has been named "The AI-Based Fraud Prevention Solution of the Year" in the 2025 AI Breakthrough Awards!

This highly coveted award honors DataVisor for leading the charge in artificial intelligence for fraud prevention, driving the boldest and most impactful innovations, and exemplifying the best in AI solutions across the globe.

DataVisor's recognition as the sole recipient, honors our commitment to delivering the most advanced, intelligent, and effective AI-powered fraud prevention solution on the market. At the heart of our platform is a breakthrough ensemble approach—combining our proprietary Unsupervised ML with Supervised Machine Learning and gen AI—to stop unknown threats and fraud rings in real time.

Thank you to AI Breakthrough for this incredible honor alongside AI greats like nVidia—and to our amazing team, partners, and customers who continue to fight to stop fraud and make our online world safer for everyone.

Join DataVisor to see how we stop promo and loyalty fraud in real time using AI-powered detection and dynamic orchestrat...
07/15/2025

Join DataVisor to see how we stop promo and loyalty fraud in real time using AI-powered detection and dynamic orchestration.
We’re going live at on July 23 as part of ’s Demo Day: Tackling First-Party Fraud—a virtual showcase featuring leading vendors solving real challenges in chargebacks, promo abuse, and returns fraud.

🔗 Register now: https://hubs.li/Q03xc2sW0

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